GB2486424A - Markers for plasma cell disorders - Google Patents
Markers for plasma cell disorders Download PDFInfo
- Publication number
- GB2486424A GB2486424A GB1021107.6A GB201021107A GB2486424A GB 2486424 A GB2486424 A GB 2486424A GB 201021107 A GB201021107 A GB 201021107A GB 2486424 A GB2486424 A GB 2486424A
- Authority
- GB
- United Kingdom
- Prior art keywords
- concentration
- mirna
- plasma cell
- sample
- type
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 208000021161 Plasma cell disease Diseases 0.000 title claims abstract description 72
- 239000002679 microRNA Substances 0.000 claims abstract description 130
- 238000000034 method Methods 0.000 claims abstract description 60
- 108700011259 MicroRNAs Proteins 0.000 claims abstract description 50
- 206010035226 Plasma cell myeloma Diseases 0.000 claims abstract description 49
- 239000003814 drug Substances 0.000 claims abstract description 17
- 229940124597 therapeutic agent Drugs 0.000 claims abstract description 17
- 201000005328 monoclonal gammopathy of uncertain significance Diseases 0.000 claims abstract description 15
- 206010020631 Hypergammaglobulinaemia benign monoclonal Diseases 0.000 claims abstract description 13
- 208000034578 Multiple myelomas Diseases 0.000 claims abstract description 12
- 206010053869 POEMS syndrome Diseases 0.000 claims abstract description 8
- 208000033559 Waldenström macroglobulinemia Diseases 0.000 claims abstract description 5
- 206010002022 amyloidosis Diseases 0.000 claims abstract description 5
- 201000009234 osteosclerotic myeloma Diseases 0.000 claims abstract description 4
- 108091070501 miRNA Proteins 0.000 claims description 86
- 238000012360 testing method Methods 0.000 claims description 43
- 239000002773 nucleotide Substances 0.000 claims description 33
- 125000003729 nucleotide group Chemical group 0.000 claims description 33
- 210000002381 plasma Anatomy 0.000 claims description 20
- 238000004393 prognosis Methods 0.000 claims description 19
- 210000004369 blood Anatomy 0.000 claims description 18
- 239000008280 blood Substances 0.000 claims description 18
- 230000000295 complement effect Effects 0.000 claims description 15
- 239000012634 fragment Substances 0.000 claims description 15
- 239000000090 biomarker Substances 0.000 claims description 12
- 238000001514 detection method Methods 0.000 claims description 11
- 210000002966 serum Anatomy 0.000 claims description 10
- 239000013642 negative control Substances 0.000 claims description 8
- 239000013641 positive control Substances 0.000 claims description 8
- 238000000605 extraction Methods 0.000 claims description 6
- 238000003753 real-time PCR Methods 0.000 claims description 5
- 108091032973 (ribonucleotides)n+m Proteins 0.000 claims description 3
- 230000001934 delay Effects 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 claims description 2
- 238000000338 in vitro Methods 0.000 claims description 2
- 238000007403 mPCR Methods 0.000 claims description 2
- 238000012340 reverse transcriptase PCR Methods 0.000 claims description 2
- 210000004027 cell Anatomy 0.000 claims 1
- 238000003556 assay Methods 0.000 abstract description 8
- 238000012216 screening Methods 0.000 abstract description 2
- 201000000564 macroglobulinemia Diseases 0.000 abstract 1
- 239000000523 sample Substances 0.000 description 56
- 201000000050 myeloid neoplasm Diseases 0.000 description 37
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 17
- 210000004180 plasmocyte Anatomy 0.000 description 13
- 235000001014 amino acid Nutrition 0.000 description 12
- 229940024606 amino acid Drugs 0.000 description 12
- 150000001413 amino acids Chemical class 0.000 description 12
- 201000010099 disease Diseases 0.000 description 12
- 229920002477 rna polymer Polymers 0.000 description 12
- 108090000623 proteins and genes Proteins 0.000 description 11
- 238000006243 chemical reaction Methods 0.000 description 10
- 235000018102 proteins Nutrition 0.000 description 10
- 102000004169 proteins and genes Human genes 0.000 description 10
- 108091028043 Nucleic acid sequence Proteins 0.000 description 9
- 238000003745 diagnosis Methods 0.000 description 9
- 206010028980 Neoplasm Diseases 0.000 description 8
- 238000007792 addition Methods 0.000 description 8
- 230000014509 gene expression Effects 0.000 description 8
- 150000007523 nucleic acids Chemical class 0.000 description 8
- 238000003757 reverse transcription PCR Methods 0.000 description 8
- 230000001105 regulatory effect Effects 0.000 description 7
- 108020004414 DNA Proteins 0.000 description 6
- 239000003550 marker Substances 0.000 description 6
- 108020004999 messenger RNA Proteins 0.000 description 6
- 108020004707 nucleic acids Proteins 0.000 description 6
- 102000039446 nucleic acids Human genes 0.000 description 6
- 238000011160 research Methods 0.000 description 6
- 102100034343 Integrase Human genes 0.000 description 5
- 108010092799 RNA-directed DNA polymerase Proteins 0.000 description 5
- 210000001185 bone marrow Anatomy 0.000 description 5
- 201000011510 cancer Diseases 0.000 description 5
- 208000035475 disorder Diseases 0.000 description 5
- 238000002493 microarray Methods 0.000 description 5
- 210000005259 peripheral blood Anatomy 0.000 description 5
- 239000011886 peripheral blood Substances 0.000 description 5
- 210000001519 tissue Anatomy 0.000 description 5
- 230000002159 abnormal effect Effects 0.000 description 4
- 230000003211 malignant effect Effects 0.000 description 4
- UEJJHQNACJXSKW-UHFFFAOYSA-N 2-(2,6-dioxopiperidin-3-yl)-1H-isoindole-1,3(2H)-dione Chemical compound O=C1C2=CC=CC=C2C(=O)N1C1CCC(=O)NC1=O UEJJHQNACJXSKW-UHFFFAOYSA-N 0.000 description 3
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 3
- 108091030146 MiRBase Proteins 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 3
- 230000000875 corresponding effect Effects 0.000 description 3
- 238000002405 diagnostic procedure Methods 0.000 description 3
- 208000015181 infectious disease Diseases 0.000 description 3
- 238000003253 miRNA assay Methods 0.000 description 3
- 229960003433 thalidomide Drugs 0.000 description 3
- 210000002700 urine Anatomy 0.000 description 3
- OYPRJOBELJOOCE-UHFFFAOYSA-N Calcium Chemical compound [Ca] OYPRJOBELJOOCE-UHFFFAOYSA-N 0.000 description 2
- 108020004705 Codon Proteins 0.000 description 2
- DHMQDGOQFOQNFH-UHFFFAOYSA-N Glycine Chemical compound NCC(O)=O DHMQDGOQFOQNFH-UHFFFAOYSA-N 0.000 description 2
- KFZMGEQAYNKOFK-UHFFFAOYSA-N Isopropanol Chemical compound CC(C)O KFZMGEQAYNKOFK-UHFFFAOYSA-N 0.000 description 2
- 208000010190 Monoclonal Gammopathy of Undetermined Significance Diseases 0.000 description 2
- 102000015094 Paraproteins Human genes 0.000 description 2
- 108010064255 Paraproteins Proteins 0.000 description 2
- 208000006994 Precancerous Conditions Diseases 0.000 description 2
- 239000013614 RNA sample Substances 0.000 description 2
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 description 2
- 239000003146 anticoagulant agent Substances 0.000 description 2
- 229940127219 anticoagulant drug Drugs 0.000 description 2
- 239000011575 calcium Substances 0.000 description 2
- 229910052791 calcium Inorganic materials 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- DDRJAANPRJIHGJ-UHFFFAOYSA-N creatinine Chemical compound CN1CC(=O)NC1=N DDRJAANPRJIHGJ-UHFFFAOYSA-N 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 238000012217 deletion Methods 0.000 description 2
- 230000037430 deletion Effects 0.000 description 2
- 230000001419 dependent effect Effects 0.000 description 2
- UREBDLICKHMUKA-CXSFZGCWSA-N dexamethasone Chemical compound C1CC2=CC(=O)C=C[C@]2(C)[C@]2(F)[C@@H]1[C@@H]1C[C@@H](C)[C@@](C(=O)CO)(O)[C@@]1(C)C[C@@H]2O UREBDLICKHMUKA-CXSFZGCWSA-N 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000001962 electrophoresis Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 230000002209 hydrophobic effect Effects 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- 210000000056 organ Anatomy 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000002864 sequence alignment Methods 0.000 description 2
- 239000001509 sodium citrate Substances 0.000 description 2
- NLJMYIDDQXHKNR-UHFFFAOYSA-K sodium citrate Chemical compound O.O.[Na+].[Na+].[Na+].[O-]C(=O)CC(O)(CC([O-])=O)C([O-])=O NLJMYIDDQXHKNR-UHFFFAOYSA-K 0.000 description 2
- PUZPDOWCWNUUKD-UHFFFAOYSA-M sodium fluoride Chemical compound [F-].[Na+] PUZPDOWCWNUUKD-UHFFFAOYSA-M 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 238000010200 validation analysis Methods 0.000 description 2
- MTCFGRXMJLQNBG-REOHCLBHSA-N (2S)-2-Amino-3-hydroxypropansäure Chemical compound OC[C@H](N)C(O)=O MTCFGRXMJLQNBG-REOHCLBHSA-N 0.000 description 1
- KWPACVJPAFGBEQ-IKGGRYGDSA-N (2s)-1-[(2r)-2-amino-3-phenylpropanoyl]-n-[(3s)-1-chloro-6-(diaminomethylideneamino)-2-oxohexan-3-yl]pyrrolidine-2-carboxamide Chemical compound C([C@@H](N)C(=O)N1[C@@H](CCC1)C(=O)N[C@@H](CCCNC(N)=N)C(=O)CCl)C1=CC=CC=C1 KWPACVJPAFGBEQ-IKGGRYGDSA-N 0.000 description 1
- 102000040650 (ribonucleotides)n+m Human genes 0.000 description 1
- 108020005345 3' Untranslated Regions Proteins 0.000 description 1
- 102100027211 Albumin Human genes 0.000 description 1
- 108010088751 Albumins Proteins 0.000 description 1
- 239000004475 Arginine Substances 0.000 description 1
- DCXYFEDJOCDNAF-UHFFFAOYSA-N Asparagine Natural products OC(=O)C(N)CC(N)=O DCXYFEDJOCDNAF-UHFFFAOYSA-N 0.000 description 1
- 238000012935 Averaging Methods 0.000 description 1
- 241000894006 Bacteria Species 0.000 description 1
- 208000019838 Blood disease Diseases 0.000 description 1
- 206010061728 Bone lesion Diseases 0.000 description 1
- 206010006002 Bone pain Diseases 0.000 description 1
- 208000031404 Chromosome Aberrations Diseases 0.000 description 1
- KRKNYBCHXYNGOX-UHFFFAOYSA-K Citrate Chemical compound [O-]C(=O)CC(O)(CC([O-])=O)C([O-])=O KRKNYBCHXYNGOX-UHFFFAOYSA-K 0.000 description 1
- 206010053567 Coagulopathies Diseases 0.000 description 1
- CMSMOCZEIVJLDB-UHFFFAOYSA-N Cyclophosphamide Chemical compound ClCCN(CCCl)P1(=O)NCCCO1 CMSMOCZEIVJLDB-UHFFFAOYSA-N 0.000 description 1
- 238000009007 Diagnostic Kit Methods 0.000 description 1
- 241000282326 Felis catus Species 0.000 description 1
- WHUUTDBJXJRKMK-UHFFFAOYSA-N Glutamic acid Natural products OC(=O)C(N)CCC(O)=O WHUUTDBJXJRKMK-UHFFFAOYSA-N 0.000 description 1
- 239000004471 Glycine Substances 0.000 description 1
- HTTJABKRGRZYRN-UHFFFAOYSA-N Heparin Chemical compound OC1C(NC(=O)C)C(O)OC(COS(O)(=O)=O)C1OC1C(OS(O)(=O)=O)C(O)C(OC2C(C(OS(O)(=O)=O)C(OC3C(C(O)C(O)C(O3)C(O)=O)OS(O)(=O)=O)C(CO)O2)NS(O)(=O)=O)C(C(O)=O)O1 HTTJABKRGRZYRN-UHFFFAOYSA-N 0.000 description 1
- 102000007625 Hirudins Human genes 0.000 description 1
- 108010007267 Hirudins Proteins 0.000 description 1
- 241000257303 Hymenoptera Species 0.000 description 1
- 238000012351 Integrated analysis Methods 0.000 description 1
- 241000764238 Isis Species 0.000 description 1
- XUJNEKJLAYXESH-REOHCLBHSA-N L-Cysteine Chemical compound SC[C@H](N)C(O)=O XUJNEKJLAYXESH-REOHCLBHSA-N 0.000 description 1
- ONIBWKKTOPOVIA-BYPYZUCNSA-N L-Proline Chemical compound OC(=O)[C@@H]1CCCN1 ONIBWKKTOPOVIA-BYPYZUCNSA-N 0.000 description 1
- QNAYBMKLOCPYGJ-REOHCLBHSA-N L-alanine Chemical compound C[C@H](N)C(O)=O QNAYBMKLOCPYGJ-REOHCLBHSA-N 0.000 description 1
- ODKSFYDXXFIFQN-BYPYZUCNSA-P L-argininium(2+) Chemical compound NC(=[NH2+])NCCC[C@H]([NH3+])C(O)=O ODKSFYDXXFIFQN-BYPYZUCNSA-P 0.000 description 1
- DCXYFEDJOCDNAF-REOHCLBHSA-N L-asparagine Chemical compound OC(=O)[C@@H](N)CC(N)=O DCXYFEDJOCDNAF-REOHCLBHSA-N 0.000 description 1
- CKLJMWTZIZZHCS-REOHCLBHSA-N L-aspartic acid Chemical compound OC(=O)[C@@H](N)CC(O)=O CKLJMWTZIZZHCS-REOHCLBHSA-N 0.000 description 1
- WHUUTDBJXJRKMK-VKHMYHEASA-N L-glutamic acid Chemical compound OC(=O)[C@@H](N)CCC(O)=O WHUUTDBJXJRKMK-VKHMYHEASA-N 0.000 description 1
- ZDXPYRJPNDTMRX-VKHMYHEASA-N L-glutamine Chemical compound OC(=O)[C@@H](N)CCC(N)=O ZDXPYRJPNDTMRX-VKHMYHEASA-N 0.000 description 1
- HNDVDQJCIGZPNO-YFKPBYRVSA-N L-histidine Chemical compound OC(=O)[C@@H](N)CC1=CN=CN1 HNDVDQJCIGZPNO-YFKPBYRVSA-N 0.000 description 1
- AGPKZVBTJJNPAG-WHFBIAKZSA-N L-isoleucine Chemical compound CC[C@H](C)[C@H](N)C(O)=O AGPKZVBTJJNPAG-WHFBIAKZSA-N 0.000 description 1
- ROHFNLRQFUQHCH-YFKPBYRVSA-N L-leucine Chemical compound CC(C)C[C@H](N)C(O)=O ROHFNLRQFUQHCH-YFKPBYRVSA-N 0.000 description 1
- KDXKERNSBIXSRK-YFKPBYRVSA-N L-lysine Chemical compound NCCCC[C@H](N)C(O)=O KDXKERNSBIXSRK-YFKPBYRVSA-N 0.000 description 1
- FFEARJCKVFRZRR-BYPYZUCNSA-N L-methionine Chemical compound CSCC[C@H](N)C(O)=O FFEARJCKVFRZRR-BYPYZUCNSA-N 0.000 description 1
- COLNVLDHVKWLRT-QMMMGPOBSA-N L-phenylalanine Chemical compound OC(=O)[C@@H](N)CC1=CC=CC=C1 COLNVLDHVKWLRT-QMMMGPOBSA-N 0.000 description 1
- AYFVYJQAPQTCCC-GBXIJSLDSA-N L-threonine Chemical compound C[C@@H](O)[C@H](N)C(O)=O AYFVYJQAPQTCCC-GBXIJSLDSA-N 0.000 description 1
- QIVBCDIJIAJPQS-VIFPVBQESA-N L-tryptophane Chemical compound C1=CC=C2C(C[C@H](N)C(O)=O)=CNC2=C1 QIVBCDIJIAJPQS-VIFPVBQESA-N 0.000 description 1
- OUYCCCASQSFEME-QMMMGPOBSA-N L-tyrosine Chemical compound OC(=O)[C@@H](N)CC1=CC=C(O)C=C1 OUYCCCASQSFEME-QMMMGPOBSA-N 0.000 description 1
- KZSNJWFQEVHDMF-BYPYZUCNSA-N L-valine Chemical compound CC(C)[C@H](N)C(O)=O KZSNJWFQEVHDMF-BYPYZUCNSA-N 0.000 description 1
- ROHFNLRQFUQHCH-UHFFFAOYSA-N Leucine Natural products CC(C)CC(N)C(O)=O ROHFNLRQFUQHCH-UHFFFAOYSA-N 0.000 description 1
- KDXKERNSBIXSRK-UHFFFAOYSA-N Lysine Natural products NCCCCC(N)C(O)=O KDXKERNSBIXSRK-UHFFFAOYSA-N 0.000 description 1
- 239000004472 Lysine Substances 0.000 description 1
- 206010064912 Malignant transformation Diseases 0.000 description 1
- 241000124008 Mammalia Species 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 206010053159 Organ failure Diseases 0.000 description 1
- 238000012408 PCR amplification Methods 0.000 description 1
- 238000002944 PCR assay Methods 0.000 description 1
- 208000007542 Paresis Diseases 0.000 description 1
- ONIBWKKTOPOVIA-UHFFFAOYSA-N Proline Natural products OC(=O)C1CCCN1 ONIBWKKTOPOVIA-UHFFFAOYSA-N 0.000 description 1
- 208000035415 Reinfection Diseases 0.000 description 1
- 208000001647 Renal Insufficiency Diseases 0.000 description 1
- MTCFGRXMJLQNBG-UHFFFAOYSA-N Serine Natural products OCC(N)C(O)=O MTCFGRXMJLQNBG-UHFFFAOYSA-N 0.000 description 1
- 108091036066 Three prime untranslated region Proteins 0.000 description 1
- AYFVYJQAPQTCCC-UHFFFAOYSA-N Threonine Natural products CC(O)C(N)C(O)=O AYFVYJQAPQTCCC-UHFFFAOYSA-N 0.000 description 1
- 239000004473 Threonine Substances 0.000 description 1
- QIVBCDIJIAJPQS-UHFFFAOYSA-N Tryptophan Natural products C1=CC=C2C(CC(N)C(O)=O)=CNC2=C1 QIVBCDIJIAJPQS-UHFFFAOYSA-N 0.000 description 1
- KZSNJWFQEVHDMF-UHFFFAOYSA-N Valine Natural products CC(C)C(N)C(O)=O KZSNJWFQEVHDMF-UHFFFAOYSA-N 0.000 description 1
- 241000700605 Viruses Species 0.000 description 1
- 230000001594 aberrant effect Effects 0.000 description 1
- 230000002378 acidificating effect Effects 0.000 description 1
- 235000004279 alanine Nutrition 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- ODKSFYDXXFIFQN-UHFFFAOYSA-N arginine Natural products OC(=O)C(N)CCCNC(N)=N ODKSFYDXXFIFQN-UHFFFAOYSA-N 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 235000009582 asparagine Nutrition 0.000 description 1
- 229960001230 asparagine Drugs 0.000 description 1
- 235000003704 aspartic acid Nutrition 0.000 description 1
- 210000003719 b-lymphocyte Anatomy 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- OQFSQFPPLPISGP-UHFFFAOYSA-N beta-carboxyaspartic acid Natural products OC(=O)C(N)C(C(O)=O)C(O)=O OQFSQFPPLPISGP-UHFFFAOYSA-N 0.000 description 1
- 238000001574 biopsy Methods 0.000 description 1
- 210000000601 blood cell Anatomy 0.000 description 1
- 238000004820 blood count Methods 0.000 description 1
- 210000000988 bone and bone Anatomy 0.000 description 1
- 208000015322 bone marrow disease Diseases 0.000 description 1
- GXJABQQUPOEUTA-RDJZCZTQSA-N bortezomib Chemical compound C([C@@H](C(=O)N[C@@H](CC(C)C)B(O)O)NC(=O)C=1N=CC=NC=1)C1=CC=CC=C1 GXJABQQUPOEUTA-RDJZCZTQSA-N 0.000 description 1
- 229960001467 bortezomib Drugs 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000004663 cell proliferation Effects 0.000 description 1
- 238000005119 centrifugation Methods 0.000 description 1
- 210000001175 cerebrospinal fluid Anatomy 0.000 description 1
- 230000000973 chemotherapeutic effect Effects 0.000 description 1
- 230000035602 clotting Effects 0.000 description 1
- 238000002648 combination therapy Methods 0.000 description 1
- 239000002299 complementary DNA Substances 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 239000013068 control sample Substances 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 229940109239 creatinine Drugs 0.000 description 1
- 229960004397 cyclophosphamide Drugs 0.000 description 1
- 235000018417 cysteine Nutrition 0.000 description 1
- XUJNEKJLAYXESH-UHFFFAOYSA-N cysteine Natural products SCC(N)C(O)=O XUJNEKJLAYXESH-UHFFFAOYSA-N 0.000 description 1
- 238000012350 deep sequencing Methods 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 239000003398 denaturant Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 231100000673 dose–response relationship Toxicity 0.000 description 1
- 230000003828 downregulation Effects 0.000 description 1
- 238000010195 expression analysis Methods 0.000 description 1
- 210000003722 extracellular fluid Anatomy 0.000 description 1
- 206010016256 fatigue Diseases 0.000 description 1
- 230000012953 feeding on blood of other organism Effects 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 210000001733 follicular fluid Anatomy 0.000 description 1
- 230000030279 gene silencing Effects 0.000 description 1
- 238000012226 gene silencing method Methods 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 235000013922 glutamic acid Nutrition 0.000 description 1
- 239000004220 glutamic acid Substances 0.000 description 1
- ZDXPYRJPNDTMRX-UHFFFAOYSA-N glutamine Natural products OC(=O)C(N)CCC(N)=O ZDXPYRJPNDTMRX-UHFFFAOYSA-N 0.000 description 1
- 235000004554 glutamine Nutrition 0.000 description 1
- ZJYYHGLJYGJLLN-UHFFFAOYSA-N guanidinium thiocyanate Chemical compound SC#N.NC(N)=N ZJYYHGLJYGJLLN-UHFFFAOYSA-N 0.000 description 1
- 230000003394 haemopoietic effect Effects 0.000 description 1
- 201000005787 hematologic cancer Diseases 0.000 description 1
- 208000014951 hematologic disease Diseases 0.000 description 1
- 230000002489 hematologic effect Effects 0.000 description 1
- 208000024200 hematopoietic and lymphoid system neoplasm Diseases 0.000 description 1
- 208000018706 hematopoietic system disease Diseases 0.000 description 1
- 229960002897 heparin Drugs 0.000 description 1
- 229920000669 heparin Polymers 0.000 description 1
- WQPDUTSPKFMPDP-OUMQNGNKSA-N hirudin Chemical compound C([C@@H](C(=O)N[C@@H](CCC(O)=O)C(=O)N[C@@H](CCC(O)=O)C(=O)N[C@@H]([C@@H](C)CC)C(=O)N1[C@@H](CCC1)C(=O)N[C@@H](CCC(O)=O)C(=O)N[C@@H](CCC(O)=O)C(=O)N[C@@H](CC=1C=CC(OS(O)(=O)=O)=CC=1)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](CCC(N)=O)C(O)=O)NC(=O)[C@H](CC(O)=O)NC(=O)CNC(=O)[C@H](CC(O)=O)NC(=O)[C@H](CC(N)=O)NC(=O)[C@H](CC=1NC=NC=1)NC(=O)[C@H](CO)NC(=O)[C@H](CCC(N)=O)NC(=O)[C@H]1N(CCC1)C(=O)[C@H](CCCCN)NC(=O)[C@H]1N(CCC1)C(=O)[C@@H](NC(=O)CNC(=O)[C@H](CCC(O)=O)NC(=O)CNC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@H]1NC(=O)[C@H](CCC(N)=O)NC(=O)[C@H](CC(N)=O)NC(=O)[C@H](CCCCN)NC(=O)[C@H](CCC(O)=O)NC(=O)CNC(=O)[C@H](CC(O)=O)NC(=O)[C@H](CO)NC(=O)CNC(=O)[C@H](CC(C)C)NC(=O)[C@H]([C@@H](C)CC)NC(=O)[C@@H]2CSSC[C@@H](C(=O)N[C@@H](CCC(O)=O)C(=O)NCC(=O)N[C@@H](CO)C(=O)N[C@@H](CC(N)=O)C(=O)N[C@H](C(=O)N[C@H](C(NCC(=O)N[C@@H](CCC(N)=O)C(=O)NCC(=O)N[C@@H](CC(N)=O)C(=O)N[C@@H](CCCCN)C(=O)N2)=O)CSSC1)C(C)C)NC(=O)[C@H](CC(C)C)NC(=O)[C@H]1NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CC(N)=O)NC(=O)[C@H](CCC(N)=O)NC(=O)CNC(=O)[C@H](CO)NC(=O)[C@H](CCC(O)=O)NC(=O)[C@H]([C@@H](C)O)NC(=O)[C@@H](NC(=O)[C@H](CC(O)=O)NC(=O)[C@@H](NC(=O)[C@H](CC=2C=CC(O)=CC=2)NC(=O)[C@@H](NC(=O)[C@@H](N)C(C)C)C(C)C)[C@@H](C)O)CSSC1)C(C)C)[C@@H](C)O)[C@@H](C)O)C1=CC=CC=C1 WQPDUTSPKFMPDP-OUMQNGNKSA-N 0.000 description 1
- 229940006607 hirudin Drugs 0.000 description 1
- HNDVDQJCIGZPNO-UHFFFAOYSA-N histidine Natural products OC(=O)C(N)CC1=CN=CN1 HNDVDQJCIGZPNO-UHFFFAOYSA-N 0.000 description 1
- 238000010191 image analysis Methods 0.000 description 1
- 230000028993 immune response Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- AGPKZVBTJJNPAG-UHFFFAOYSA-N isoleucine Natural products CCC(C)C(N)C(O)=O AGPKZVBTJJNPAG-UHFFFAOYSA-N 0.000 description 1
- 229960000310 isoleucine Drugs 0.000 description 1
- 201000006370 kidney failure Diseases 0.000 description 1
- 210000000265 leukocyte Anatomy 0.000 description 1
- 210000004880 lymph fluid Anatomy 0.000 description 1
- 210000001165 lymph node Anatomy 0.000 description 1
- 230000036212 malign transformation Effects 0.000 description 1
- 230000036210 malignancy Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 229930182817 methionine Natural products 0.000 description 1
- 238000010208 microarray analysis Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000007935 neutral effect Effects 0.000 description 1
- 239000002547 new drug Substances 0.000 description 1
- 230000008816 organ damage Effects 0.000 description 1
- COLNVLDHVKWLRT-UHFFFAOYSA-N phenylalanine Natural products OC(=O)C(N)CC1=CC=CC=C1 COLNVLDHVKWLRT-UHFFFAOYSA-N 0.000 description 1
- 230000036470 plasma concentration Effects 0.000 description 1
- 229920001184 polypeptide Polymers 0.000 description 1
- 230000001124 posttranscriptional effect Effects 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 239000002243 precursor Substances 0.000 description 1
- 102000004196 processed proteins & peptides Human genes 0.000 description 1
- 108090000765 processed proteins & peptides Proteins 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000010839 reverse transcription Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 235000004400 serine Nutrition 0.000 description 1
- 239000011780 sodium chloride Substances 0.000 description 1
- -1 sodium citrate) Chemical compound 0.000 description 1
- 239000011775 sodium fluoride Substances 0.000 description 1
- 235000013024 sodium fluoride Nutrition 0.000 description 1
- 238000010561 standard procedure Methods 0.000 description 1
- 238000011272 standard treatment Methods 0.000 description 1
- 238000011476 stem cell transplantation Methods 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 235000008521 threonine Nutrition 0.000 description 1
- 238000013518 transcription Methods 0.000 description 1
- 230000014616 translation Effects 0.000 description 1
- OUYCCCASQSFEME-UHFFFAOYSA-N tyrosine Natural products OC(=O)C(N)CC1=CC=C(O)C=C1 OUYCCCASQSFEME-UHFFFAOYSA-N 0.000 description 1
- 230000003827 upregulation Effects 0.000 description 1
- 239000004474 valine Substances 0.000 description 1
Classifications
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
- C12Q1/6883—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
- C12Q1/6886—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61K—PREPARATIONS FOR MEDICAL, DENTAL OR TOILETRY PURPOSES
- A61K31/00—Medicinal preparations containing organic active ingredients
- A61K31/33—Heterocyclic compounds
- A61K31/395—Heterocyclic compounds having nitrogen as a ring hetero atom, e.g. guanethidine or rifamycins
- A61K31/435—Heterocyclic compounds having nitrogen as a ring hetero atom, e.g. guanethidine or rifamycins having six-membered rings with one nitrogen as the only ring hetero atom
- A61K31/44—Non condensed pyridines; Hydrogenated derivatives thereof
- A61K31/445—Non condensed piperidines, e.g. piperocaine
- A61K31/4523—Non condensed piperidines, e.g. piperocaine containing further heterocyclic ring systems
- A61K31/454—Non condensed piperidines, e.g. piperocaine containing further heterocyclic ring systems containing a five-membered ring with nitrogen as a ring hetero atom, e.g. pimozide, domperidone
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61P—SPECIFIC THERAPEUTIC ACTIVITY OF CHEMICAL COMPOUNDS OR MEDICINAL PREPARATIONS
- A61P35/00—Antineoplastic agents
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
- C12Q1/6883—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
- G01N33/5091—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing the pathological state of an organism
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/118—Prognosis of disease development
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/16—Primer sets for multiplex assays
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/178—Oligonucleotides characterized by their use miRNA, siRNA or ncRNA
Landscapes
- Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Organic Chemistry (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- Engineering & Computer Science (AREA)
- Immunology (AREA)
- Analytical Chemistry (AREA)
- Zoology (AREA)
- Wood Science & Technology (AREA)
- General Health & Medical Sciences (AREA)
- Genetics & Genomics (AREA)
- Molecular Biology (AREA)
- Pathology (AREA)
- Physics & Mathematics (AREA)
- Biochemistry (AREA)
- Biotechnology (AREA)
- Microbiology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- General Engineering & Computer Science (AREA)
- Biophysics (AREA)
- Medicinal Chemistry (AREA)
- Pharmacology & Pharmacy (AREA)
- Animal Behavior & Ethology (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Biomedical Technology (AREA)
- Urology & Nephrology (AREA)
- Hematology (AREA)
- Oncology (AREA)
- Hospice & Palliative Care (AREA)
- Epidemiology (AREA)
- Physiology (AREA)
- Tropical Medicine & Parasitology (AREA)
- Cell Biology (AREA)
- Food Science & Technology (AREA)
- General Physics & Mathematics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- General Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
Abstract
A method for diagnosing a subject suffering from a plasma cell disorder, such as multiple myeloma, amyloidosis, Waldenstromâ s macroglobulinemia, osteosclerotic myeloma (POEMS syndrome), monoclonal gammopathy of unknown significance (MGUS) or plasma cell myeloma, comprising analysing the concentration of one or more microRNA (miRNA) molecules in a sample. The miRNA may be selected from miRNA-15a, miRNA-15b, miRNA-16 and miRNA-221. Also claimed are methods of determining the efficacy of treating a plasma cell disorder with a therapeutic agent, and kits for carrying out the assays and methods. The assays are qualitative and/or quantitative, and are adaptable to large-scale screening and clinical trials.
Description
PLASMA CELL DISORDERS
The present invention relates to novel biological markers for plasma cell disorders, such as multiple myeloma, and in particular to the use of microRNAs as diagnostic and prognostic markers in assays for detecting such disorders. The invention also relates to methods of determining the efficacy of treating a plasma cell disorder with a therapeutic agent, and kits for carrying out the assays and methods. The assays are quahtative and/or quantitative, and are adaptable to large-scale screening and clinical trials.
Plasma cells are white blood cells produced from B lymphocytes, and create and release antibodies to fight infection. Plasma cells do not normally circulate in the blood; they are usually located only in bone marrow, lymph nodes and areas where an immune response takes place. Plasma cell disorders occur when one plasma cell clone, which is capable of producing a monoclonal antibody, divides and multiples uncontrollably. These abnormal plasma cells eventually begin to "crowd out" other plasma cells and, as a result, the body's ability to fight viruses, bacteria and other infections decreases dramatically. The abnormal plasma cells may eventually invade the surrounding bone, resulting in bone lesions, abnormal amounts of calcium in the blood and resulting organ damage, such as kidney failure.
Common plasma cell disorders include amyloidosis, Waldenstrom's macroglobulinemia osteosclerotic myeloma (POEMS syndrome), Monoclonal gammopathy of unknown significance (MGUS) or Plasma cell myeloma. Amyloidosis occurs \vhen antibodies or protein fragments accumulate in organs of the body with the build-up of antibody or protein fragments resulting in a reduced ability to fight infection. Abnormal plasma cells multiply uncontrollably and group together at multiple sites in the bone marrow, crowding out healthy blood cells. Waldenstrom's macroglobulinemia, on the other hand, is a malignant blood cancer characterized by a high level of 1gM antibodies in the blood and the bone marrow.
io Multiple myeloma, also termed myeloma, is a malignant disorder of bone marrow plasma cells that accounts for approximately IO% of all haematological cancers and l% of all cancers. The annual incidence of multiple myeloma age-adjusted to the 2006 UK population is 6.6 per 100,000, therefore affecting more that 3000 ne\v individuals per year.
The most common symptoms on presentation are fatigue, bone pain and recurrent infections, with the median survival after diagnosis being approximately three years after diagnosis. Although myeloma is presently incurable, recent advances in treatment, including the use of thahdomide and new drugs such as bortezomib, as \vell as autologous stem cell transplantation, can improve life expectancy.
Myeloma usually progresses from an asymptomatic pre-cancerous stage of clonal plasma cell proliferation termed "monoclonal gammopathy of undetermined significance" MGUS). MGTJS is present in more that 3% of the population above the age of 50 and progresses to myeloma or a related malignancy at a rate of -I % per year. The sequence of events responsible for malignant transformation of MGUS to multiple myeloma is, at present, not well understood. Since no single factor can identify those patients with MGTJS likely to progress to myeloma, patients need to be monitored at regular intervals. Therefore, a diagnostic method to identify those patients who are most at risk of cancer progression would be of immense benefit to patients and would raise the possibility of early treatment and improved prognosis. Hence, there is need to provide a reliable biological marker for predicting which patients \vill progress to multiple myeloma.
According to a first aspect of the present invention, there is provided a method for diagnosing a subject suffering from a plasma cell disorder, or a pre-disposition thereto, or for providing a prognosis of the subject's condition, the method comprising analysing the concentration of one or more type of rnicroRNA molecule in a bodily sample from a test subject and comparing this concentration with a reference for the concentration of the one or more type of microRNA molecule in an individual who does not suffer from a plasma cell disorder, wherein an increased concentration of the one or more type of microRNA molecule in the bodily sample from the test subject compared to the reference suggests that the subject is suffering from a plasma cell disorder, or has a pre-disposition thereto, or provides a negative prognosis of the subject's condition.
io According to a second aspect of the present invention, there is provided a method for determining the efficacy of treating a subject suffering from a plasma cell disorder with a therapeutic agent, the method comprising analysing the concentration of one or more type of microRNA molecule in a bodily sample from a test subject and comparing this concentration with a reference for the concentration of the one or more type of microRNA molecule in an individual who does not suffer from a plasma cell disorder, wherein a difference in the concentration of the one or more type of microRNA molecule in the bodily sample compared to the reference is indicative of the efficacy of treating the test subject with the therapeutic agent.
According to a third aspect of the invention, there is provided a kit for diagnosing a subject suffering from a plasma cell disorder, or a pre-disposition thereto, or for providing a prognosis of the subject's condition, the kit comprising:- (i means for determining the concentration of one or more type of micro RNA molecule in a sample from a test subject; and (ii) a reference for the concentration of the one or more type of microkNA molecule in a sample from an individual \vho does not suffer from a plasma cell disorder, wherein the kit is used to identify an increased concentration of the one or more type of microRNA molecule in the sample from the test subject compared to the reference concentration, thereby suggesting that the test subject suffers from a plasma cell disorder, or has a pre-disposition thereto, or providing a negative prognosis of the subject's condition.
According to a fourth aspect of the invention, there is provided a kit for determining the efficacy of treating a subject suffering from a plasma cell disorder \vith a therapeutic agent, the kit comprising:- (0 means for determining the concentration of one or more type of microRNA molecule in a sample from a test subject; and (ii) a reference for the concentration of the one or more type of microRNA molecule iii a sample from an individual who does not suffer from a plasma cell disorder, wherein the kit is used to identify a difference in the concentration of the one or more type of microRNA molecule in the sample from the test subject compared to the reference concentration, the difference in concentration being indicative of the efficacy of treating the test subject with the therapeutic agent.
According to a fifth aspect of the invention, there is provided a method of treating an individual suffering from a plasma cell disorder, said method comprising the steps of: i) determining the concentration of one or more microRNA molecule in a sample having been obtained from a test subject, wherein an increased concentration of the one or more type of microRNA molecule in the bodily sample from the test subject compared to the concentration of the one or more type of microRNA molecule in a sample from an individual who does not suffer from a plasma cell disorder, suggests that the test subject suffers from a plasma cell disorder, or is pre-disposed thereto, or has a negative prognosis; and (ii) administering, to the test subject, a therapeutic agent that prevents, reduces or delays progression of the plasma cell disorder.
An important feature of any useful biomarker used in disease diagnosis and prognosis is that it exhibits high sensitivity and specificity for a given disease. Firstly, as explained in the examples, the inventors have surprisingly demonstrated that microRNA molecules (miRNAs) can survive in the peripheral blood. Secondly, they have found that these miRNAs can serve as robust biomarkers for plasma cell disorders, such as myeloma, and can therefore be used for the detection of cancerous and pre-cancerous states, and disease prognosis. In addition, the inventors have shown that using miRNAs as biomarkers for plasma cell disorders employs an assay which is simple, reproducible and inexpensive, and with minimal inconvenience to the patient.
Up until recently, the possibihty of using miRNAs as a routine, non-invasive test for plasma cell disorders, such as myeloma and "monoclonal gammopathy of undetermined significance" (MGUS) patients, has not been possible because bone marrow samples need to be taken, a procedure which is painful to the patient and requires a skilled practitioner.
However, the inventors have surprisingly shown that ntiRNAs can be detected in blood plasma and serum, opening the way to a novel, non-invasive diagnostic test. Furthermore, advantageously, miRNAs are stable in plasma at room temperature (for at least 24 hours) Jo and when subjected to freeze-thaw cycles. Coupled with this, and the data described in the examples, it is clearly possible to use miRNAs derived from blood samples as a minimally invasive diagnostic tool for patients suffering from plasma cell disorders.
The method according to the first aspect is useful for enahling a clinician to make decisions with regards to the hest course of treatment for a subject who is currently or who may suffer from a plasma cell disorder in the future, such as myeloma. It is preferred that the method of the first aspect is useful for enabling a chnician to decide how to treat a subject who is suffering from a plasma cell disorder. In addition, the methods of the first and second aspects are useful for monitoring the efficacy of a putative treatment for a plasma cell disorder, for example thalidomide or borte2omib when treating myeloma. Hence, the kits according to the third and fourth aspects are useful for providing a prognosis of the subject's condition, such that the chnician can carry out the treatment according to the fifth aspect. The kit of the third aspect may be used to monitor the efficacy of a putative treatment for plasma cell disorders. The methods and the kits are therefore very useful for guiding a plasma cell disorder treatment regime for the clinician, and to monitor the efficacy of such a treatment regime. The cbnician may use the kits of the invention in conjunction with existing diagnostic tests to improve the accuracy of diagnosis.
The methods and kits of the invention may be used to predict the risk of progression in a pre-cancerous and malignant subject. The plasma cell disorder may for example be amyloidosis, Waldenstrom's macroglobulinemia, osteosclerotic myeloma (POEMS syndrome), Monoclonal gammopathy of unknown significance (MGTJS) or Plasma cell myeloma. Preferably, the disorder is plasma cell mveloma, i.e. multiple myeloma.
MicroRNA molecules are non-coding, post-transcriptional regulators that normally hind to complementary sequences in the 3' untranslated regions (3' UTRs) of target messenger RNA transcripts (mRNAs), usually resulting in gene silencing. miRNAs are short ribonucleic acid (RNA) molecules, on average only about 22 nucleotides long. Thus, the miRNA detected in the methods and kits of the invention may he about 15 to 30 nucleotides long, or about 18 to 25 nucleotides long, or about 21 to 23 nucleotides long.
The methods and kits of the invention may comprise analysing the concentration of any of the known miRNAs, and which can he found on the miRBase website (http://www.mirbase.org/). The miRBase (version 14) currentiy includes 894 mature human miRNAs, all of which are processed from longer precursors and differ from each other in nucleotide sequence. The current understanding is that each miRNA is expressed in one or more human tissues and binds to one or more target RNA sequences expressed in particular tissues. The binding of this single miRNA, by itself or in combination with other miRNAs and/or proteins to a particular mRNA, leads to down-regulation of gene expression, usually by degradation of the target mRNA or repression of protein translation.
Tt is preferred that the methods and kits may comprise analysing the concentration of one or more type of microRNA molecule selected from the group of miRNA molecules consisting of miRNA-15a, miRNA-15b, miRNA-16 and m1RNA-221.
Hence, in a sixth aspect, there is provided use of one or more type of microRNA, as a biomarker for diagnosing a subject suffering from a plasma cell disottler, or a pre-disposition thereto, or for providing a prognosis of the subject's condition, wherein the one or more type of microRNA molecule is selected from the group of miRNA molecules consisting of miRNA-15a, miRNA-15b, m1RNA-16 and miRNA-221.
In one embodiment, the miRNA being detected is miRNA-15a. The sequence of miRNA-.
15a is 22 nucleotides long, and is referred to herein as SEQ ID No.1, as follows: 5'-UAGCAGCACAUAAUGGUUUGUG-3' SEQ II) No.1 Therefore, the miRNA may comprise a nucleotide sequence substantially as set out in SEQ ID No.1, or the complementary sequence thereo4 or a variant or fragment thereof.
In another embodiment, the miRNA being detected is miRNA-15b. The sequence of miRNA-15b is 22 nucleotides long, and is referred to herein as SEQ ID No.2, as follows: 5'-UAGCAGCACAUCAUGGULTUACA-3' SEQ II) No.2 Therefore, the miRNA may comprise a nucleotide sequence substantially as set out in SEQ II) No.2, or the complementary sequence thereof, or a variant or fragment thereof.
In another embodiment, the miRNA being detected is miRNA-1 6. The sequence of miRNA-1 6 is 22 nucleotides long, and is referred to herein as SEQ ID No.3, as follows: 5'-IJAGCAGCACGUAAATJAIJUGGCG-3' SEQIDNo.3 Therefore, the miRNA may comprise a nucleotide sequence substantially as set out in SEQ ID No.3, or the complementary sequence thereof, or a variant or fragment thereof.
In one embodiment, the miRNA being detected is miRNA-221. The sequence of miRNA- 221 is 23 nucleotides long, and is referred to herein as SEQ ID No.4, as follows: 5'-AGCTJACAUUGTJCUGCUGGGUTJTJC-3' SEQ ID No.4 Therefore, the miRNA may comprise a nucleotide sequence substantially as set out in SEQ ID No.4, or the complementary sequence thereof, or a variant, or fragment thereof.
The methods and kits of the invention may comprise determining the concentration of one or more type of microRNA molecule selected from the group of miRNA molecules comprising a nucleodde sequence substantially as set out in any or SEQ ID No.1 to 4, or any of the complementary sequences thereof, or variants or fragments thereof. The pattern of expression, where miRNAs I Sa, I Sb, 16 and/or 221 are found at significantly higher levels in a bodily sample from a test subject (e.g. plasma or serum from peripheral blood) is termed the "miRNA signature", and the or each type of miRNA being detected is referred to as a signature miRNA.
The complementary sequence of SEQ ID No's 1-4 (often termed miRNA*, for example miRNA15a*, miRNAl5b*, miRNA16* or miRNA221*) may also be detected. These Jo complementary sequences have also been shown to have activity, and therefore also have utility as a biomarker for plasma cell disorders.
Van ants and fragments of any of the miRNA molecules that may be detected may include truncations or additions of nucleotides of the miRNA molecule, for example SEQ ID No.1-4. A truncation may comprise the miRNA molecule having been reduced in size by the removal of at least one nucleotide from the 5' and/or 3' end of the miRNA, or by deletion of one of more nucleotides from within the core or centre of the miRNA. The truncation may comprise deletion of at least 2, 3, 4or 5 nucleotides from the miRNA molecule. An addition may comprise the miRNA molecule having been increased in size by the addition of at least one nucleotide to the 5' and/or 3' end of the niiRNA, or by the introduction of one of more nucleotides into the core or centre of the niiRNA. The addition may comprise addition of at least 2, 3, 4, 5, or up to 10 nucleotides to the miRNA molecule.
The concentration of the at least one type of miRNA molecule may act as a diagnostic and/or prognostic marker for a plasma cell disorder, for example myeloma. In addition, the miRNA may also act as a diagnostic and/or prognostic marker for benign diseases. For example, the disorder may be benign following chemotherapeutic treatment regimes. The inventors investigated the expression levels of a large number of tiiiRNA molecules in myeloma patients, and were surprised to observe that several miRNAs were over-expressed in myeloma patients compared to the controls. The inventors therefore realised that these miRNA molecules, which together form a miRNA signature, represents a useful and robust physiological marker of myeloma and other plasma cell disorders in patients.
The inventors have established that circulating levels of miRNAs in a test subject is highly suggestive of the whether the subject either has, or is pre-disposed to developing, a plasma cell disorder, and is sufficiently sensitive to detect the disorder at an early stage. In addition, assaying for the miRNA can differentiate between benign or malignant conditions.
Furthermore, using the invention, it is possible to monitor whether a subject's condition relapses following a treatment regime. Accordingly, the methods of the first and second aspects of the invention, in which the concentration of the miRNA molecule is measured, and compared to a control concentration, provides a very rehable prognostic marker for monitoring conditions, both before and after treatment. Accordingly, assaying for miRNA molecules is a substantial improvement over assaying for other markers, because it is more sensitive and also provides enhanced specificity. In addition, assaying for miRNA molecules also provides far mote information to the clinician, and will help stratify the disease.
It will be appreciated that detecting one particular type of miRNA molecule may be of use by itself as a biomarker for a plasma cell disorder. Further, detecting more than one type of miRNA molecule, may provide a more robust diagnosis or prognosis of the disease. Tn addition, the biomarker may also be used in combination with an assay of another biological marker indicative of plasma cell disorders, for example detection of aberrant monoclonal paraprotein and/or serum free light chain. For example, paraprotein or light chain may be detected by serum or urine electrophoresis. Hence, assaying for one or more ITIiRNA molecules may be used to complement the use of another marker to provide even more information to the clinician.
The subject may be any animal of veterinary interest, for instance, a cat, dog, horse etc. However, it is preferred that the subject is a mammal, such as a human, either male or female.
Preferably, a sample is taken from the subject, and the concentration of the one or more type of miRNA molecule may he measured. The kit of the third or fourth aspect may comprise sample extraction means for obtaining the sample from the test subject. The sample extraction means may comprise a needle or syringe or the like.
It has been demonstrated that miRNAs occur in body and organ fluids, such as cerebrospinal fluid or follicular fluid. However, the sample may be any bodily sample into which miRNA molecules are secreted, e.g. it may be lymph or interstitial fluid. The sample may be a urine sample. However, the inventors were very surprised to observe that miRNAs survive in the blood. Therefore, it is preferred that the miRNA molecule is measured or assayed in a blood sample. The blood sample may be venous or arterial.
The kit may comprise a sample collection container for receiving the extracted sample.
Blood samples may be assayed for miRNA molecule levels immediately. Alternatively, the blood may he stored at low temperatures, for example in a fridge or even frozen before the miRNA assay is conducted. Measurement of niiRNA may be made on whole blood.
-10 -However, the blood may be further processed before the assay is performed. For instance, an anticoagulant, such as citrate (such as sodium citrate), hirudin, heparin, PPACK, or sodium fluoride may be added. Thus, the sample collection container may contain an anticoagulant in order to prevent the blood sample from clotting. Alternatively, the blood sample may he centrifuged or filtered to prepare a plasma or serum fraction, which may be used for analysis. Hence, it is preferred that the miRNA is analysed or assayed in a blood plasma or a blood serum sample. It is preferred that miRNA concentration is measured in vitro from a blood serum sample or a plasma sample taken from the subject.
It will also be appreciated that "fresh" bodily samples may be analysed immediately after they have been taken from a subject. Alternatively, the samples may be frozen and stored.
The sample may then he dc-frosted and analysed at a later date.
As described in the examples, the inventors monitored the concentration of various miRNAs in numerous patients who suffered from myeloma, and compared them to the concentration of the same miRNAs in individuals who did not suffer from myeloma. They demonstrated that there was a statistically significant increase in the miRNA concentration in the patients suffering from myeloma. It will be appreciated that the concentration of a certain miRNA molecule in myeloma patients is highly dependent on a number of factors, for example how far the disease has progressed, and the age and gender of the subject. It will also be appreciated that the concentration of miRNAs in individuals who do not suffer from a plasma cell disorder may fluctuate to some degree, but that on average over a given period of time, the concentration tends to be substantially constant. In addition, it should be appreciated that the concentration of miRNA in one group of individuals who do not suffer from a plasma cell disorder may be different to the concentration of those miRNAs in another group of individuals who do not suffer from the disease. However, the skilled technician will know how to determine the average concentration of certain miRNAs in individuals who do not suffer from a plasma cell disorder, and this is referred to as the io normal' concentration of miRNA. The normal concentration corresponds to the reference values discussed above in the first to fifth aspects.
-II -
The miRNAs may be extracted from the bodily sample hy a variety of techniques. Briefly, these may comprise addition of a protein denaturant (such as Trizol or guanidine thiocyanate) to the sample, centrifugation to remove protein debris, addition of DNa seT to remove DNA, and extraction of RNA using a suitable column. RNA samples may be further concentrated by ethanol/isopropanol precipitation and/or centrifugal concentration. At present, the preferred extraction kit used by the inventors is supplied by Exiqon, but other extraction kits could be used, depending on availability and/or suitability in subsequent downstream reactions.
to PCR may be used to amplify the one or more type of miRNA molecule. The PCR technology may be selected from the group consisting of real-time PCR, reverse transcriptase PCR, multiplex PCR or molecular beacon PCR. It will be appreciated that PCR involves the use of two primers which are substantially complementary to the miRNA molecule being assayed in the sample. The kits according to the third and fourth aspects comprise means for determining the concentration of one or more type of miRNA molecule in a sample from a test subject. The kit may comprise a container in which the means for determining the concentration of one or more type of miRNA molecule in a sample from a test subject may be contained. The kit may also comprise instructions for use.
Thus, the kits may comprise detection means for determining the concentration of the one or more type of miRNA in the sample once this has been obtained from the subject. For example, the detection means may comprise one or more primer, for use in a PCR method for amplifying the miRNA. In one embodiment, detection of the one or more type of miRNA molecule may he achieved by TaqMan quantitative RT-PCR using primer and probe sets specific for particular human miRNAs, as described on the Applied Biosystems website (http://www.appliedbiosystems.com/absite/us/en/home.htrnt). This method makes use of looped Reverse Transcriptase primers to generate the cDNA and then forward and reverse primers for the PCR amplification. Quantification is achieved by use Jo of a fluorescently labelled probe, situated between the two primers, where fluorescence is activated upon the PCR reaction (for method see http://www.appliedhiosystems.com/absite/us/en/home.html).
-12 -In another enthodiment, detection may be achieved using an Exiqon microRNA detection kit. (http: / /www. exiqon.com us). However, other PCR-based and microarray-based detection methods are also applicable to this invention. The primers may comprise at least partial sequence identity with the miRNA molecule being detected, for example miRNA- 1 Sa, miRNA-1 5b, miRNA-l 6 or rni-RNA-221. In another embodiment, the Reverse Transcriptase and PCR reactions may comprise the procedure as set out in Example 1.
The reference values may be obtained by assaying a statistically significant number of control samples (i.e. samples from subjects who do not suffer from a plasma cell disorder).
Accordingly, the reference (ii according to the kits of the third and fourth aspects of the invention may be a control sample (for assaying).
The kit may comprise a positive control (preferably in a container), which corresponds to total RNA extracted from a sample (e.g. the plasma) of a subject having a plasma cell disorder (e.g. myeloma where it has been established that the relevant miRNAs (for example, miRNA-1 5a, miRNA-1 Sb, miRNA-1 6 and/or rniRNA-221) are present at statistically higher levels than normal controls (i.e. a normal healthy subject without a plasma cell disorder, such as myeloma). Hence, the positive control miRNA may comprise a nucleotide sequence substantially as set out in SEQ ID No.1, 2, 3 or 4, or the complementary sequence thereof, or a variant, or fragment thereof.
The kit may comprise a negative control (preferably in a container), which corresponds to total RNA extracted from a sample (e.g. the plasma) of a normal, healthy subject without a plasma cell disorder (e.g. myeloma, where it has previously been established that the above miRNAs are not detectable. By way of example, the miRNAs 181a and l8lb were found to be present at levels that were not detectably higher than normal, healthy controls.
Therefore, miRNAs 181a and 18th may be used as negative controls.
The sequence of miRNA-t 81 a is 23 nucleotides long, and is referred to herein as SEQ ID no. 5, as follows: 5'-AACAUUCAACGCIJGUCGGUGAGU-3' SEQ ID No.5 -13 -The sequence of rniRNA-1 81b is 23 nucleotides long, and is referred to herein as SEQ ID no. 6, as follows: 5'-AACAUIJCAUUGCIJGTJCGGTJGGGTJ-3' SEQ ID No.6 Hence, the negative control miRNA may comprise a nucleotide sequence substantially as set out in SEQ ID No.5 or 6, or the complementary sequence thereof, or a variant or fragment thereof.
In a preferred embodiment, the kit may comprise the reference, a positive control and a negative control. The kit will also comprise further controls, as necessary, such as "spike-in" controls to provide a reference for concentration, and further positive controls for each of the "signature" microRNAs.
Hence, by way of example only, the blood plasma concentration of the signature miRNA in normal, healthy individuals not suffering from a plasma cell disorder may not be detectable, whereas the concentration of these signature miRNAs in a patient with a plasma cell disorder (e.g. myeloma may be at least 5-, 10, 15-or 20-fold higher.
The inventors noted that the concentration of miRNA in the test individuals was statistically more than the reference concentration (as calculated using the method described in the Example). This is referred to herein as the increased' concentration of the one or more miRNA. The skilled technician will appreciate how to measure the concentrations of miRNAs in a statistically significant number of control individuals, and the concentration of miRNA in the test subject, and then use these respective figures to determine whether the test subject has a statistically significant increase in miRNA concentration, and therefore infer whether that subject is suffering from a plasma cell disorder.
io Accordingly, the inventors have realised that the difference in concentrations of miRNAs between the normal (i.e. control) and increased levels, can be used as a physiological marker, suggestive of the presence (or absence in respect of benign conditions) of a plasma cell disorder in the test subject. It will be appreciated that if a subject has an increased -14-concentration of one or more signature miRNAs which is considerably higher than the normal' concentration of that miRNA in the reference, control value, then they would be at a higher risk of having a plasma cell disorder, or a condition that was more advanced, than if the concentration of that miRNA was only marginally higher than the normal' concentratIon.
By way of example, the increase in concentration of miRNA compared to the normal' concentration may be at least 5-, 10, 15-or 20-fold higher than the normal' concentration.
Such increases in miRNA concentration infer that the test subject is suffering from a plasma cell disorder. Accordingly, a clinician would be able to make a decision as to the preferred course of treatment required, for example the type and dosage of the therapeutic agent according to the fifth aspect to be administered.
In the method of the second aspect and the kit of the fourth aspect, the difference in the concentration of the one or more type of microRNA molecules in the bodily sample compared to the corresponding concentration in the reference is indicative of the efficacy of treating the subject's plasma cell disorder with the therapeutic agent, for example thahdomide. The difference may be an increase or a decrease in the concentration of the one or more type of microRNA molecules in the bodily sample compared to the reference value. In embodiments \vhere the concentration of the one or more type of microRNA molecules in the bodily sample is lower than the corresponding concentration in the reference, then this would indicate that the therapeutic agent is successfully treating the plasma cell disorder in the test subject. Conversely, where the concentration of the one or more type of microRNA molecule in the bodily sample is higher than the corresponding concentration in the reference, then this would indicate that the therapeutic agent is not successfully treating the plasma cell disorder.
It will be appreciated that the invention extends to any nucleic acid or variant, derivative or analogue thereof, which comprises substantially the nucleic acid sequences of any of the io sequences referred to herein, including functional variants or functional fragments thereof.
The terms "substantially the nucleotide sequence", lunctional variant" and "functional fragment", can he a sequence that has at least 40% sequence identity with the nucleotide sequences of any one of the sequences referred to herein, for example 40% identity with -15 - the nucleotide identified as SEQ ID No:1 (i.e. niiRNA-15a) or SEQ ID No.2 (i.e. miRNA-lSb), and so on.
Nucleotide sequences with a sequence identity which is greater than 65%, more preferably greater than 7O%, even more preferably greater than 75%, and still more preferably greater than SU?/o sequence identity to any of the sequences referred to are also envisaged.
Preferably, the nucleotide sequence has at least SS% identity with any of the sequences referred to, more preferably at least 9O% identity, even more preferably at least 92% identity, even more preferably at least 93% identity, even more preferably at least 97% identity, even more preferably at least 98% identity and, most preferably at least 99% identity with any of the sequences referred to herein.
The skilled technician will appreciate how to calculate the percentage identity between two nucleotide sequences. In order to calculate the percentage identity between two nucleotide sequences, an ahgnment of the two sequences must first be prepared, followed by calculation of the sequence identity value. The percentage identity for two sequences may take different values depending on:-(i) the method used to ahgn the sequences, for example, ClustalW, BLAST, FASTA, Smith-Waterman (implemented in different programs), or structural alignment from 3D comparison; and (ii) the parameters used by the alignment method, for example, local vs global alignment, the pair-score matrix used (e.g. BLOSUM62, PAM25O, Gonnet etc.), and gap-penalty, e.g. functional form and constants.
Having made the alignment, there are many different ways of calculating percentage identity between the two sequences. For example, one may divide the number of identities by: i) the length of shortest sequence; ii the length of alignment; (iii the mean length of sequence; (iv) the number of non-gap positions; or (iv) the number of equivalenced positions excluding overhangs. Furthermore, it will be appreciated that percentage identity is also strongly length dependent. Therefore, the shorter a pair of sequences is, the higher Jo the sequence identity one may expect to occur by chance.
Hence, it will he appreciated that the accurate alignment of protein or DNA sequences is a complex process. The popular multiple alignment program ClustalW Thompson et al., -16 - 1994, Nucleic Acids Research, 22, 4673-4680; Thompson et a!., 1997, Nucleic Acids Research, 24, 4876-4882) is a preferred way for generating multiple alignments of proteins or DNA in accordance with the invention. Suitable parameters for ClustalW may be as follows: For DNA alignments: Gap Open Penalty 15.0, Gap Extension Penalty 6.66, and Matrix Identity. For protein alignments: Gap Open Penalty 10.0, Gap Extension Penalty 0.2, and Mat.rix Gonnet. For DNA and Protein alignments: ENDGAP -1, and GAPDIST 4. Those skilled in the art will be aware that it may be necessary to vary these and other parameters for optimal sequence alignment.
Preferably, calculation of percentage identities between two nucleotide sequences may then be calculated from such an alignment as (N/Tfl* 100, where N is the number of positions at which the sequences share an identical residue, and T is the total number of positions compared including gaps but excluding overhangs. Hence, a most preferred method for calculating percentage identity between two sequences comprises i) preparing a sequence alignment using the ClustalW program using a suitable set of parameters, for example, as set out above; and (ii) inserting the values of N and T into the following formula:-Sequence Identity (N/T)*100.
Alternative methods for identifying similar sequences will be known to those skilled in the art. For example, a substantially similar nucleotide sequence will be encoded by a sequence which hybridizes to the sequences shown in SEQ ID No's: 1-6, or their complements under stringent conditions. By stringent conditions, we mean the nucleotide hybridises to filter-bound DNA or RNA in 3x sodium chloride/sodium citrate (SSC) at approximately 45°C followed by at least one wash in 0.2x SSC/0.1% SDS at approximately 20-65°C.
Alternatively, a substantially similar polyp eptide may differ by at least 1, but less than 5, 10, 20, 50 or 100 amino acids from the sequences described herein.
Due to the degeneracy of the genetic code, it is clear that any nucleic acid sequence described herein could be varied or changed without substantially affecting the sequence of the protein encoded thereby, to provide a functional variant thereof. Suitable nucleotide variants are those having a sequence altered by the substitution of different codons that encode the same amino acid within the sequence, thus producing a silent change. Other suitable variants are those having homologous nucleotide sequences but comprising all, or -17 -portions of, sequence, which are altered by the substitution of different codons that encode an amino acid with a side chain of similar biophysical properties to the amino acid it substitutes, to produce a conservative change. For example small non-polar, hydrophobic amino acids include glycine, alanine, leucine, isoleucine, valine, proline, and methionine.
Large non-polar, hydrophobic amino acids include phenylalanine, tryptophan and tyrosine.
The polar neutral amino acids include serine, threonine, cysteine, asparagine and glutamine.
The positively charged (basic) amino acids include lysine, arginine and histidine. The negatively charged (acidic) amino acids include aspartic acid and glutamic acid. It will therefore be appreciated which amino acids may be replaced with an amino acid having similar biophysical properties, and the skilled technician will known the nucleotide sequences encoding these amino acids.
All of the features described herein (including any accompanying claims, abstract and drawings), and/or all of the steps of any method or process so disclosed, may be combined with any of the above aspects in any combination, except combinations where at least some of such features and/or steps are mutually exclusive.
For a better understanding of the invention, and to show how embodiments of the same may be carried into effect, reference will now be made, by way of example, to the accompanying diagrammatic drawings, in which:-Figure 1 shows the expression levels of four miRNAs in the blood plasma of myeloma patients compared to healthy controls. Panels A -D represent levels of miRNAs iSa (panel A), I Sb (panel B), 16 (panel C) and 221 (panel D) as measured by Taqman RT-PCR.
Total RNA plus miRNAs was isolated from 400fil plasma using a mirVANA PARIS kit (Ambion) and the equivalent of 2Oiil plasma used in the Taqman microRNA assay (ABI).
Quantitation is expressed as 100/Ct. Four replicates were carried out for each plasma sample and the means and standard errors shown. NI -N4 are healthy subjects (NI 40 yr old male, N251yr old female, N363yr old female, N464yr old male). Ml -M3 represent myeloma patients (M175yr old male, M244vr old female, M394yr old female).
-18 -
Example I
Materials and methods 1. Sample collection For this study, the inventors recruited 30 newly diagnosed myeloma patients with a target of 10 patients each of TgG, TgA and hght chain only myelomas. Each of these patients were analysed at diagnosis and after completion of treatment making a total of 60 analyses.
Samples were obtained from 20 MGIJS patients and 20 healthy controls. This number of patients was chosen to allow for variability, but also to ensure that the amount of work involved was feasible. If any of the MGTJS patients progress to the myeloma during the project, the inventors will follow the changes in their miRNA levels longitudinally.
All myeloma, MGTJS and healthy controls were assessed by serum/urine electrophoresis and serum free light chain detection along with routine full blood count and biochemical profile including creatinine, calcium, albumin, LDH, CRP, 32-microglobuhn, and immunoglobuhn levels to assess immune paresis (Kyle, R.A. and Rajkumar, S.V. (2008) Blood, 111(6): 29 62-72; McKenna, R.W., et al., Plasma cell neoplams, in WHO class?/Ication of tumours of haematopoietic and fymphoid tissues, S.H. Swerdlow, et al., Editors. 2008, International Agency for Research on Cancer: Lyon. p. 200-203). Patients with myeloma and MGUS underwent bone marrow biopsy and skeletal survey to stage their condition as per standard practice. This information was hnked with the experimental results in an anonyniised manner.
Clinical samples were obtained from consenting subjects under an existing research project termed "the Brighton blood disorder study" which has ethical and R&D approval for donation of blood and marrow samples for research purposes (references: 09/025/CHE and 09/Hi 107/1). These samples were stored under a licence from the Human Tissue Authority and good clinical practice was adhered to at all times. Samples were collected in the clinic or phlebotomy room by trained practitioners, processed within 4 hours and io transported by the named technician from the Royal Sussex County Hospital to the Medical Research Building (Sussex University campus) by car following approved Standard Operating Procedures. The samples were anonymised, coded and stored at -80°C in freezers with an emergency generator as per Human Tissue Authority guidelines.
-19 - 2. Scn?dning oJ'miRNAs using n'holcgcnorncprofihing The objective of this part of the project was to identify the particular miRNAs that are specifically up-regulated in MGUS and myeloma patients relative to healthy controls. By using microarrays, all 885 known miRNAs can be screened simultaneously to determine which ones are specifically up-regulated. Exiqon micro-array slides were used as they included aimost a]] human miRNAs known to date (885/96.2%, miRBase version 13.0; Griffiths-Jones, S., et al. (2008) Nucleic Acids Res, 36(Datahase issue): D154-8) as well as "spike-in" controls for normalisation. In addition, each miRNA spot was replicated 4 times and each spike-in control was replicated 48 times across the array. This microarray was used because the inventors had previously had considerable success using Exiqon arrays and could perform the experiment in-house using existing equipment. "Deep sequencing" using either Solexa (Illumina) or similar platforms were not believed to be cost-effective for this large number of samples.
3. Statistical and bioinformatic anafysis fmicroarrqy data Image analysis was conducted using the GenePixPro (7.0) software and the resulting microRNA expression data normalized using two methods, namely i) Robust Multiarray Averaging (RMA), Irizarry, R.A., et al. (2003) Nucleic Acids Res, 31(4): e15., and (ii) GeneChip RMA (GCRMA), Wu, Z.J., et al. (2004) Journal of the American Statistical Association 99: 909-9 17). Differential expression analysis was conducted using the Limma package from Bioconductor that implements an Empirical Bayes approach for hypothesis testing (Smyth, G.K. (2004) Stat Appl Genet Mol Biol, 3: Article 3). The miRNAs were only defined as being differentially expressed if they met specific adjusted p-value and log odds thresholds for both normalisation methods. This resulted in a set of miRNAs which were significanily up-regulated in MGTJS patients and myeloma patients compared to healthy controls. This set of miRNAs was analysed further using liierarchical clustering, to find those miRNA with related expression profiles. The functions of the up-regulated miRNA were analysed using tools such as MicroRNA and mRNA integrated analysis (MMIA), which integrates miRNA target prediction methods with functional data available io in the Gene Ontology and KEGG-pathway databases (Nam, S., et al. (2009) Nucleic Acids Res, 37 (Web Server issue): W356-62). This analysis provided one (or more) sets of candidate miRNAs which were significantly and consistently up-regulated in MGUS and the three groups of myeloma patients compared to normal controls and which could be -20 -further experimentally validated by Taqman RT-PCR.
4. Confirmation of results Iy Taqman quantitative RT-PCR From the data set produced above, the inventors confirmed and quantified the expression of four microRNAs which \vere significantly up-regulated according to the microarray analysis. Validation was carried out by reverse transcriptase reactions on the purified total RNA followed by TaqMan quantitative RT-PCR using primer sets specific for particular mature human miRNAs. Primer/probe sets were purchased from Applied Biosystems (http://wwsw.appliedbiosystems.com/absite/us/en/home.html).
The reverse-transcriptase and PCR reactions were carried out as follows: An equal volume of eluted RNA (5 u/reaction 1/20 of the eluted volume) was reverse transcribed using the TagMan microRNA Reverse Transcription Kit and miRNA-specific stem-looped RT primers (Applied BioSystem) in 15 u RT reaction (comprised of 4.16 d of H20, 1.5 d of l0XReverse-Transcription Buffer, 0.19 j.il of RNase-Inhihitor (20 units4d, 0.15 ull of 100 mM dNTPs with dflP, I d of Multiscribe Reverse-Transcriptase, and 5 d of input RNA) by incubating for 30 mm at 16°C, 30 mm at 42°C, 5 mm at 85°C, and then maintained at 4°C. For real-time PCR, 1.33 1d RT products were used as templates in 20 u reactions containing 1 1d of TagMan MicroRNA Assay (20X), 10 pi of TaqMan 2X Universal PCR Master Mix (no AmpErase UNG), and 7.67 d of H,O. Real-time PCR was carried out on a Mx300SP Real-Time PCR System (Stratagene) using the following conditions: 95°C for 10 mm, followed by 40 cycles at 95°C for 15 s, and 60°C for 1 mm. All PCR reactions were run in triplicate. The threshold cycle (CT) was defined as the fractional cycle number at which the fluorescence passes the fixed threshold.
The looped RT primers and probe sets, supplied by Applied Blosystems, conferred exquisite specificity for a particular miRNA. The inventors have extensive experience of using these TaqMan primer/probe sets, and the data discussed in the results section shows that they can be used on miRNAs isolated from 400 microlitres of plasma with a yield of Jo 2.9-3.6ng/microlitre total RNAs. The TaqMan RT-PCR not only confirmed the micro-array data but, by using spike-in controls, also provided quantitative data on the levels of miRNAs in each sample. At the end of this series of experiments, the inventors aimed to -21 -have confirmed and quantified up-regulation of at least four miRNAs \vhich showed potential as biomarkers in plasma cell disorders.
5. Validation of,niRNA biornarkers The next stage of the project involved choosing five of these miRNAs for each of the 4 groups and testing them on a further group of 30 mye]oma patients (comprising 10 TgG, 10 IgA, and 10 hght chain only myelomas), along with 10 MGUS patients and 10 healthy controls. This helped to validate the use of the four "signature" miRNAs in patient diagnoses.
6. Ana?isis o[miRNi 4 hiomarlcers in relation to ex*ting risk. indenxs and cancer progression To assess the effectiveness of miRNAs as a diagnostic tool for predicting cancer progression, the inventors looked for a correlation hetween the expression of particular miRNAs and existing markers of disease and prognosis in MGTJS and myeloma routinely performed at diagnosis and described above. Statistical considerations were undertaken to determine the appropriate sample size required to power the study in order to detect a significant association between the miRNA signature and the disease state. In addition, the inventors correlated their data with other disease-related factors including cytogenetic abnormalities, presence of end-organ failure or bony disease, age of patient, response to treatment, and overall clinical outcome.
Results The results show that it is possible to isolate microRNAs @iiRNAs) from peripheral blood plasma and accurately quantitate the levels of particular miRNAs by Taqman quantitative RT-PCR. As shown in Figure 1, the results show that healthy control subjects express undetectable levels of the five miRNAs tested (miRNA-1 Sa, miRNA-1 5b, miRNA-1 6, miRNA-181 a, and rniRNA-22 1). However, surprisingly, patients with myelorna express high levels of each of these miRNAs in their peripheral blood plasma with miRNA-1 6 being particularly highly represented (see Figure 1). Jo
These data therefore clearly demonstrate that it is possible to easily isolate and identify miRNAs from peripheral blood plasma, and that particular miRNAs (miRNA-15a, -22 -miRNA-1 Sb, miRNA-t 6, miRNA-l 81 a and miRNA-221) are significantly up-regulated in patients with myeloma compared to healthy controls.
Example 2
Based on the data generated in Example 1, the inventors have developed a diagnostic kit, which can be used for the diagnosis and prognosis of mye]oma. The kit comprises a microfluidic card (or 96 well/364 well plate) pre-loaded with PCR assays, including the appropriate miRNAs that provide the ccsignature for myeloma, together with relevant positive and negative controls. The signature miRNA can be any or all of the miRNAs selected from miRNA-15a, miRNA-15b, miRNA-16 and/or miRNA-221. The appropriate positive control(s) will match the signature mRNA, i.e. any or all of miRNA-l 5a, miRNA-lSb, miRNA-16 and/or miRNA-221. The negative control is nkRNA 181a and/or 181h.
miRNAs that are predictive for development of the pre-cancerous condition MGTJS to myeloma can also be included as well. The practitioner, who would normally be employed in a NHS diagnostic laboratory, would isolate total RNA from plasma using a kit or machine and then apply the total RNA samples to the microfluidic card (or 96-well plate) and place it into a quantitative RT-PCR machine. The machine would then perform the required reactions (as described in Example 1) to detect the relative levels of fluorescent signal from each well of the plate. The skilled practitioner would then summarise this data and present it to the clinician to assist in his/her diagnosis.
Example 3
The inventors believe that the invention can be used to determine the efficacy of treating multiple myeloma with a therapeutic agent, such as cyclophoshamide, thalidomide or dexamethazone. A subject suffering from myeloma is administered with combination therapy comprising the standard treatment of cyclophosphamide, thalidomide and dexamethazone at a dose dependent upon the clinician's judgement. A blood sample is taken from the subject and then used to assess the concentration of various signature io miRNAs, and these values are recorded. One month later, a second blood sample is taken from the subject, and the concentrations of the same miRNAs are determined. If the concentrations of certain miRNAs remain the same or increase over time, the clinician will -23 -realise that the treatment regime is not successful, and so can increase the dose or try alternative treatment regimes.
Claims (13)
- Claims I. A method for diagnosing a subject suffering from a plasma cell disorder, or a pre-disposition thereto, or for providing a prognosis of the subject's condition, the method comprising analysing the concentration of one or more type of microRNA molecule in a bodily sample from a test subject and comparing this concentration with a reference for the concentration of the one or more type of microRNA molecule in an individual who does not suffer from a plasma cell disorder, wherein an increased concentration of the one or more type of microRNA molecule in the bodily sample from the test subject compared to the reference suggests that the subject is suffering from a plasma cell disorder, or has a pre-disposition thereto, or provides a negative prognosis of the subject's condition.
- 2. A method for detennining the efficacy of treating a subject suffering from a plasma cell disorder with a therapeutic agent, the method comprising analysing the concentration of one or more type of microRNA molecule in a bodily sample from a test subject and comparing this concentration with a reference for the concentration of the one or more type of microRNA molecule in an individual who does not suffer from a plasma cell disorder, wherein a difference in the concentration of the one or more type of microRNA molecule in the bodily sample compared to the reference is indicative of the efficacy of treating the test subject with the therapeutic agent.
- 3. A method according to either claim I or 2, wherein the miRNA concentra don is measured in vitro.
- 4. A method according to any preceding claim, wherein the plasma cell disorder is amyloidosis, Waldenstrom's macroglobulinemia, osteosclerotic myeloma (POEMS syndrome), Monoclonal gammopathy of unknown significance (MGIJS) or plasma cell myeloma.
- 5. A method according to any preceding claim, wherein the di.soi:der iS plasma. cell flTtye]oma.
- 6. A method according to any preceding claim, wherein the method comprises analysing the concentration of one or more type of microRNA molecule selected from the -25 -group of miRNA molecules consisting of niiRNA-1 Sa, miRNA-1 Sb, miRNA-1 6 and miRNA-221.
- 7. A method according to any preceding claim, wherein the method comprises determining the concentration of one or more type of microRNA molecule selected from the group of miRNA molecules comprising a nucleotide sequence substantially as set out in any or SEQ ID No.1 to 4, or any of the complementary sequences thereof, or variants or fragments thereof.
- 8. A method according to any preceding claim, wherein the bodily sample is a blood sample.
- 9. A method according to any preceding claim, wherein the bodily sample is a blood plasma or a blood serum sample.
- 10. A method according to any preceding claim, wherein PCR is used to amplify the one or more type of miRNA molecule.
- 11. A method according to claim 10, wherein the PCR technology is selected from the group consisting of real-time PCR, reverse transcriptase PCR, multiplex PCR and molecular beacon PCR.
- 12. A method according to any preceding claim, wherein the increase in concentration of miRNA compared to the normal' concentration is at least 5-, 10, 15-or 20-fold higher than the normal' concentration.
- l3. Use of one or more type of microRNA, as a biomarker for diagnosing a subject suffering from a plasma cell disorder, or a pre-disposition thereto, or for providing a prognosis of the subject's condition, wherein the one or more type of microRNA molecule is selected from the group of miRNA molecules consisting of miRNA-lSa, miRNA-15b, miRNA-16 and miRNA-221. -26 -14. A kit for diagnosing a subject suffering from a plasma cell disorder, or a pre-disposition thereto, or for providing a prognosis of the subject's condition, the kit comprising: - (i) means for determining the concentration of one or more type of micro RNA molecule in a sample from a test subject; and (ii) a reference for the concentration of the one or more type of microRNA molecule in a sample from an individual who does not suffer from a plasma cell disorder, wherein the kit is used to identify an increased concentration of the one or more type of microRNA molecule in the sample from the test subject compared to the reference concentration, thereby suggesting that the test subject suffers from a plasma cell disorder, or has a pre-disposition thereto, or providing a negative prognosis of the subject's condition.15. A kit for determining the efficacy of treating a subject suffering from a plasma cell disorder with a therapeutic agent, the kit comprising:- (i) means for determining the concentration of one or more type of microRNA molecule in a sample from a test subject; and (ii) a reference for the concentration of the one or more type of microRNA molecule in a sample from an individual who does not suffer from a plasma cell disorder, \vherein the kit is used to identify a difference in the concentration of the one or more type of microRNA molecule in the sample from the test subject compared to the reference concentration, the difference in concentration being indicative of the efficacy of treating the test subject with the therapeutic agent.16. A kit according to either claim 14 or 15, wherein the kit is for carrying the method as set out in any one of claims 1-12.17. A kit according to any one of claims 14-16, wherein the kit comprises sample extraction means for obtaining the sample from the test subject. -27 -18. A kit according to any one of claims 14-17, wherein the kit comprises detection means for determining the concentration of the one or more type of miRNA in the sample once this has been obtained from the subject.19. A kit according to claim 18, wherein the detection means comprises one or more primer, for use in a PCR method for amplifying the miRNA.20. A kit according to any one of claims 14-19, wherein the kit comprises a positive control, which corresponds to total RNA extracted from a sample of a subject having a plasma cell disorder \vhere it has been established that the relevant miRNAs are present at statistically higher levels than normal controls.21. A kit according to claim 20, wherein the positive control comprises a nucleotide sequence substantially as set out in SEQ ID No.1, 2, 3 or 4, or the complementary sequence thereof, or a variant, or fragment thereof.22. A kit according to any one of claims 14-21, wherein the kit comprises a negative control, which corresponds to total RNA extracted from a sample of a normal, healthy subject without a plasma cell disorder, where it has previously been established that the above miRNAs are not detectable.23. A kit according to claim 22, wherein the negative control comprises a nucleotide sequence substantially as set out in SEQ ID No.3 or 6, or the complementary sequence thereof or a variant or fragment thereof.24. A method of treating an individual suffering from a plasma cell disorder, said method comprising the steps of: (i) determining the concentration of one or more microRNA molecule in a sample having been obtained from a test subject, wherein an increased concentration of the one or more type of microRNA molecule in the bodily sample from the test subject compared to the concentration of the one or more type of nticroRNA molecule in a sample from an individual who does not suffer from a -28 -plasma cell disorder, suggests that the test subject suffers from a plasma cell disorder, or is pre-disposed thereto, or has a negative prognosis; and (iO administering, to the test subject, a therapeutic agent that prevents, reduces or delays progression of the plasma cell disorder.
Priority Applications (6)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB1021107.6A GB2486424A (en) | 2010-12-13 | 2010-12-13 | Markers for plasma cell disorders |
PCT/GB2011/052464 WO2012080721A2 (en) | 2010-12-13 | 2011-12-13 | Plasma cell disorders |
JP2013543877A JP2014502491A (en) | 2010-12-13 | 2011-12-13 | Plasma cell disease |
US13/993,834 US20140194467A1 (en) | 2010-12-13 | 2011-12-13 | Plasma cell disorders |
EP11804752.1A EP2652144A2 (en) | 2010-12-13 | 2011-12-13 | Plasma cell disorders |
US14/851,539 US20160068914A1 (en) | 2010-12-13 | 2015-09-11 | Plasma cell disorders |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB1021107.6A GB2486424A (en) | 2010-12-13 | 2010-12-13 | Markers for plasma cell disorders |
Publications (2)
Publication Number | Publication Date |
---|---|
GB201021107D0 GB201021107D0 (en) | 2011-01-26 |
GB2486424A true GB2486424A (en) | 2012-06-20 |
Family
ID=43567104
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
GB1021107.6A Withdrawn GB2486424A (en) | 2010-12-13 | 2010-12-13 | Markers for plasma cell disorders |
Country Status (5)
Country | Link |
---|---|
US (2) | US20140194467A1 (en) |
EP (1) | EP2652144A2 (en) |
JP (1) | JP2014502491A (en) |
GB (1) | GB2486424A (en) |
WO (1) | WO2012080721A2 (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2943570B1 (en) | 2013-01-14 | 2018-01-03 | Pierfrancesco Tassone | Inhibitors of mirnas 221 and 222 for anti-tumor activity in multiple myeloma |
WO2017177028A1 (en) * | 2016-04-06 | 2017-10-12 | Duke University | Compositions and methods for blood storage |
EP3484923A1 (en) | 2016-07-15 | 2019-05-22 | Takeda Pharmaceutical Company Limited | Methods and materials for assessing response to plasmablast- and plasma cell-depleting therapies |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2010019694A1 (en) * | 2008-08-12 | 2010-02-18 | The Ohio State University Research Foundation | Micro-rna-based compositions and methods for the diagnosis, prognosis and treatment of multiple myeloma |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090092974A1 (en) * | 2006-12-08 | 2009-04-09 | Asuragen, Inc. | Micrornas differentially expressed in leukemia and uses thereof |
EP2600871A2 (en) * | 2010-08-04 | 2013-06-12 | The Ohio State University | Methods for impairing the p53/hdm2 auto-regulatory loop in multiple myeloma development using mir-192, mir-194 and mir-215 |
-
2010
- 2010-12-13 GB GB1021107.6A patent/GB2486424A/en not_active Withdrawn
-
2011
- 2011-12-13 US US13/993,834 patent/US20140194467A1/en not_active Abandoned
- 2011-12-13 WO PCT/GB2011/052464 patent/WO2012080721A2/en active Application Filing
- 2011-12-13 EP EP11804752.1A patent/EP2652144A2/en not_active Withdrawn
- 2011-12-13 JP JP2013543877A patent/JP2014502491A/en active Pending
-
2015
- 2015-09-11 US US14/851,539 patent/US20160068914A1/en not_active Abandoned
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2010019694A1 (en) * | 2008-08-12 | 2010-02-18 | The Ohio State University Research Foundation | Micro-rna-based compositions and methods for the diagnosis, prognosis and treatment of multiple myeloma |
Non-Patent Citations (3)
Title |
---|
Blood, Vol.106, 2005, Al Masari, A. et al., "MicroRNA expressin analysis...", p.446a, Abs #1554 * |
Blood, Vol.113, 2009, Roccaro, A. M. et al., "MicroRNAs a5a and 16...", pp.6669-6680 * |
Leukemia Res., Vol.34, 2010, Corthals, S. L. et al., "Micro-RNA-15a and micro-RNA-16 expression...", pp.677-681 * |
Also Published As
Publication number | Publication date |
---|---|
WO2012080721A3 (en) | 2012-12-27 |
JP2014502491A (en) | 2014-02-03 |
EP2652144A2 (en) | 2013-10-23 |
US20140194467A1 (en) | 2014-07-10 |
GB201021107D0 (en) | 2011-01-26 |
WO2012080721A2 (en) | 2012-06-21 |
US20160068914A1 (en) | 2016-03-10 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP6966508B2 (en) | Urine biomarker cohort, gene expression characteristics, and methods of their use | |
US20200370127A1 (en) | Biomarkers in Peripheral Blood Mononuclear Cells for Diagnosing or Detecting Lung Cancers | |
Sourvinou et al. | Quantification of circulating miRNAs in plasma: effect of preanalytical and analytical parameters on their isolation and stability | |
JP6211511B2 (en) | Universal screening test (UST) based on miRNA | |
EP2951315B1 (en) | Non-invasive diagnostic method for diagnosing bladder cancer | |
US20210130905A1 (en) | Micro-rna biomarkers and methods of using same | |
Cañadas-Garre et al. | Genomic approaches in the search for molecular biomarkers in chronic kidney disease | |
KR20190020649A (en) | Plasma-based detection of inverse lymphoma kinase (ALK) nucleic acids and ALK fusion transcripts and their use in the diagnosis and treatment of cancer | |
US11149313B2 (en) | Methods of using miRNAs from bodily fluids for detection and differentiation of neurodegenerative diseases | |
WO2009143379A2 (en) | Use of extracellular rna to measure disease | |
Martínez-Fernández et al. | RNA detection in urine: from RNA extraction to good normalizer molecules | |
KR102505827B1 (en) | Use of micro-ribonucleic acid(mirna) to diagnose transplant rejection and tolerance of immunosuppression therapy | |
Bejleri et al. | Diagnostic and prognostic circulating microrna in acute stroke: a systematic and bioinformatic analysis of current evidence | |
WO2018220185A1 (en) | Novel circular rna biomarkers for heart failure | |
US20180044733A1 (en) | Circulatory MicroRNAs (miRNAs) as Biomarkers for Diabetic Retinopathy (DR) and Age-Related Macular Degeneration | |
US20160068914A1 (en) | Plasma cell disorders | |
CN108866187B (en) | Long-chain non-coding RNA marker related to lung cancer auxiliary diagnosis and application thereof | |
JP6827067B2 (en) | Methods for detecting lupus nephritis or predicting its risk and its applications | |
TW201514311A (en) | Method for determining the prognosis of pancreatic cancer | |
US20150045243A1 (en) | Mirnas as non-invasive biomarkers for diagnosis | |
CN110923315B (en) | Application of multiple myeloma biomarker hsa_circ_0007841 | |
EP2716767A1 (en) | Method for determining the prognosis of pancreatic cancer | |
Nateghi et al. | Circulating miR-193b-3p and miR-376a-3p involved in Iranian patients with multiple sclerosis | |
Gyongyosi et al. | Measuring expression levels of small regulatory RNA molecules from body fluids and formalin-fixed, paraffin-embedded samples | |
US10975436B2 (en) | Methods of using miRNA from bodily fluids for diagnosis and monitoring of neurodevelopmental disorders |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
WAP | Application withdrawn, taken to be withdrawn or refused ** after publication under section 16(1) |